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Channel

FoundMed

@FounfMed

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

3,099subscribers

+39 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002446874646
TypeChannel
Username@FounfMed
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live22 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/FounfMed

Growth

3,0603,0993,079.58 August 2026 — 3,060 subscribers9 August 2026 — 3,061 subscribers12 August 2026 — 3,066 subscribers16 August 2026 — 3,073 subscribers19 August 2026 — 3,087 subscribers22 August 2026 — 3,099 subscribers8 August 202622 August 2026
6 measurements spanning 14 days, net +39. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,054–3,105 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 20:453,099+12
19 Aug 2026, 12:193,087+14
16 Aug 2026, 05:463,073+7
12 Aug 2026, 06:523,066+5
9 Aug 2026, 06:433,061+1
8 Aug 2026, 10:013,060first reading

Engagement

20 posts held, back to 23 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
44.0%
avg views ÷ 3,099 subscribers
Avg views / post
1,360
7 posts measured
Reaction rate
1.97%
reactions ÷ views · ER floor
Posts in window
7
of 20 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (23 June 20267 August 2026)
Views total9,552
Reactions total188
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 10:01 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

601 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 78.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
47178.4%
custom 54249724700231040896811.3%
custom 5343672411306875017406.66%
🔥223.66%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 20 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 601reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 23 June 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
83
across the posts below
Posts paid on
15
of 20 we hold a reading for · 75%
Most on one post
10
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @FounfMed. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 20 most recent posts we hold for this entry, published 23 June 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

7 Aug 2026, 17:20 UTC517 views16 reactions5 Starsread 8 August 2026

السلام عليكم ورحمة الله وبركاته 🎯 أعزاءنا طلاب وطالبات المستوى الثالث الكرام؛ ▫️يسرّنا أن نشارككم تحديث جميع فهارس مادة علم الأحياء الدقيقة/Microbiology؛ ✅الفهرس الشامل لقسم علم البكتيريا/Bacteriology. ✅الفهرس الشامل لقسم علم المناعة/Immunology. ✅الفهرس الشامل للمادة. ✅كل ما يخص المستوى الثالث. ✅القناة الرسمية للمستوى الثالث. 〰شاركوا المنشور لزملائكم، لتعم الفائدة الجميع. 〰للتواصل معنا @FoundMed_bot. #Thi

12🔥2custom 53436724113068750172

Signed Wail Al-duais

7 Aug 2026, 14:01 UTC625 views27 reactions10 Starsread 8 August 2026

واحمـدُ ربنــا حمــداً كثــيراً لـهُ فـي كــلِّ ثـانيـــةٍ ثـنـــاءُ هو الرحمنُ ربي خـيـرُ عونٍ ألـوذُ بـهِ إذا اشـتـدَّ البــلاءُ و مـن يكـنُ الإلهُ لـهُ نصـيراً فليسَ يـضـرّهُ كـيــدُ العـداءُ رجـائـي فيك ياربي اغـثنـي و ظني فيكَ ما خابَ الرجاءُ. "جمعة طيبة مباركة"

27

Signed Mohammed Ateeq alqulhdi

3 Aug 2026, 00:03 UTC≈1,190 views49 reactions7 Starsread 8 August 2026

اللَّهُمَّ في كلِّ ساعةِ تعبٍ وسهر، اكتبْ لنا أجرًا، وفي كلِّ خطوةٍ في طريقِ العلمِ افتحْ لنا بابًا من التوفيق. اللَّهُمَّ ارزقنا صفاءَ الذهن، وقوّةَ الحفظ، وبركةَ الوقت، ويسِّر لنا ما استصعبناه، وقرِّب لنا ما نرجوه. اللَّهُمَّ اجعلْ نهايةَ هذا السعي فرحةً تليقُ بكلِّ ما بذلناه، ولا تُضيِّع لنا تعبًا، ووفِّقنا لما فيه خيرُنا، وبلِّغنا غاياتِنا بفضلك، يا أكرمَ الأكرمين.

44🔥5

Signed Wail Al-duais

30 Jul 2026, 17:39 UTC≈1,710 views17 reactions2 Starsread 8 August 2026

سلام الله عليكم ورحمته وبركاته ✅أعزاءنا طلاب وطالبات المستوى الثالث، نضع بين أيديكم أول فهرس مجزأ لهذا العام، فهرس شامل وكافي لمقدمة مادة علم الأمراض (General Pathology)، يضم جميع المراجع والكتب بشكل مجزأ ومرتب، وأهم ملخصات الدفع السابقة، وفيديوهات الشرح لجميع الدكاترة، وكذلك بنوك أسئلة المراجع العالمية والعربية، ونماذج اختبارات الدفع السابقة، وكل ما تحتاجونه خلال دراسة هذه المادة ومذاكرتها. وهذه البداية فقط، وما هو

12🔥4custom 53436724113068750171

Signed Wail Al-duais

29 Jul 2026, 12:35 UTC≈1,140 views25 reactionsread 8 August 2026

سلام الله عليكم ورحمته وبركاته 🌟أعزاءنا طلاب وطالبات المستوى الثالث؛ 🌟 هنا فهرس خاص بمادة طب المجتمع/Community Medicine، جمعنا فيه كل المهم، وكل ما يلزم لمذاكرة ولفهم هذه المادة، ولأن المادة غير مكثفة، فقد تم التركيز على أهم البنوك والنماذج، وسيتم تحديث الفهرس بأقرب وقت ممكن بإذن الله. ✔️مراجع وملفات: • مرجع Closing the gap in a generation. • سلايدات د/علي خليل للدفعة 42. • سلايدات د/علي خليل مترجمة للدفع

17🔥4custom 53436724113068750174

Signed Wail Al-duais

27 Jul 2026, 01:03 UTC≈1,870 views28 reactionsread 8 August 2026

سلام الله عليكم ورحمته وبركاته 🩵أعزاءنا طلاب وطالبات المستوى الثاني الكرام؛ 🩵 بما أن اختباركم الأول في بلوك Muscloskeletal System قد اقترب، واستجابة للطلبات الكثيرة خلال بوت القناة ورسائلها المباشرة، قمنا بتجميع نماذج الدكاترة وأهمها، وكذلك أهم البنوك الخاصة بكل مادة على حدة. ✅علم وظائف الأعضاء/Physiology: • بنك مرجع جايتون M & N. • بنك د/مجدي صبري M & N & ANS. • بنك الدكتور أحمد العربي M & N & ANS. • ن

21🔥4custom 53436724113068750173

Signed Wail Al-duais

25 Jul 2026, 17:21 UTC≈2,500 views26 reactions10 Starsread 8 August 2026

سلام الله عليكم ورحمته وبركاته 🌟أعزاءنا طلاب وطالبات المستوى الثالث؛ 🌟 هنا فهرس خاص بمادة طب المجتمع/Community Medicine، جمعنا فيه كل المهم، وكل ما يلزم لمذاكرة ولفهم هذه المادة، ولأن المادة غير مكثفة، فقد تم التركيز على أهم البنوك والنماذج، وسيتم تحديث الفهرس بأقرب وقت ممكن بإذن الله. ✔️مراجع وملفات: • مرجع Closing the gap in a generation. • سلايدات د/علي خليل للدفعة 42. • سلايدات د/علي خليل مترجمة للدفع

16custom 54249724700231040897🔥3

Signed Wail Al-duais

24 Jul 2026, 00:36 UTC≈1,930 views56 reactions10 Starsread 8 August 2026

اللَّهُمَّ إنَّا استودعناك تعبَنا وسهرَنا وسعيَنا، فباركْ لنا في علمِنا، وافتحْ علينا فتوحَ العارفين، وألهمْنا الفهمَ والحفظَ، ولا تجعلْ في دربِنا أمرًا إلّا يسَّرتَه. يا ربَّنا، اجعلْ ما ندرسه نورًا في عقولِنا، وما نحفظه ثابتًا في قلوبِنا، ووفِّقْنا في اختباراتِنا، واجْبُرْ خَواطِرَنا بِتَحقيقِ ما نَرْجوهُ، وبَلِّغْنا ما نَسْعى إِلَيْهِ بفضلِكَ وكرمِكَ، يا أَكرمَ الأكْرمين.

56

Signed Wail Al-duais

20 Jul 2026, 17:50 UTC≈1,710 views17 reactionsread 8 August 2026

سلام الله عليكم ورحمته وبركاته 🔖 أعزاءنا الطلاب والطالبات المقبلون على المستوى الأول بتخصص الطب البشري؛ 🔍 بدايةً كتعريف بمستوى أول، سنفصل لكم محتوى المواد لمقرر سنة أولى بشكل أساسي ومفصل بدون تكلف. 🗓 المواد مقسمة إلى جزئين: 1⃣مواد أساسية: وهي مواد لها ارتباط وعلاقة بتخصص الطب البشري. 2⃣مواد متطلبة: وهي مواد ليست مرتبطة بتخصص الطب البشري، ولكن دراستها إلزامية، مثل مواد اللغة العربية والإنجليزية، والثقافة ....

16custom 54249724700231040891

Signed Wail Al-duais

19 Jul 2026, 22:45 UTC≈2,350 views24 reactionsread 8 August 2026

سلام الله عليكم ورحمته وبركاته 🩵أعزاءنا طلاب وطالبات المستوى الثالث؛ 🩵 هنا فهرس خاص بمادة علم النفس/Psychology، جمعنا فيه كل المهم، وكل ما يلزم لمذاكرة ولفهم هذه المادة، وبما أن المادة غير مكثفة، فقد تم التركيز على بنوك ونماذج هذه المادة. ✔️مراجع وملفات هامة: • معجم علم النفس و التحليل النفسي. • معجم مصطلحات التحليل النفسي. • ملخص الدفعة 42 للثلاث المحاضرات الأولى. • ملخص الدفعة 41 للأربعة الفصول الأولى

19custom 54249724700231040895

Signed Wail Al-duais

17 Jul 2026, 17:17 UTC≈2,620 views25 reactions6 Starsread 8 August 2026

سلام الله عليكم ورحمته وبركاته 🖊 حرصًا على تنظيم المحتوى وتسهيل الوصول إلى كل مستوى، تم إنشاء قنوات خاصة لكل مستوى من المستويات الثلاثة الأولى. 📖 ستكون هذه القنوات مهمة في حال وجود أي معلومة أو منشور أو ملفات مهمة أو أسئلة تفاعلية تخص مستوى معين. 📌تنويه مهم: سيستمر النشر بشكلٍ أساسي في القناة الرئيسية، بينما ستكون قنوات المستويات مخصصة لإرسال منشورات وأسئلة ومفات مهمة خاصة بهم، كما ستسهل الوصول لمحتوى القناة ال

17custom 54249724700231040898

Signed Wail Al-duais

14 Jul 2026, 17:13 UTC≈4,460 views33 reactions3 Starsread 8 August 2026

سلام الله عليكم ورحمته وبركاته 🔖 أعزاءنا الطلاب والطالبات المقبلون على المستوى الأول بتخصص الطب البشري؛ 🔍 بدايةً كتعريف بمستوى أول، سنفصل لكم محتوى المواد لمقرر سنة أولى بشكل أساسي ومفصل بدون تكلف. 🗓 المواد مقسمة إلى جزئين: 1⃣مواد أساسية: وهي مواد لها ارتباط وعلاقة بتخصص الطب البشري. 2⃣مواد متطلبة: وهي مواد ليست مرتبطة بتخصص الطب البشري، ولكن دراستها إلزامية، مثل مواد اللغة العربية والإنجليزية، والثقافة ....

22custom 54249724700231040896custom 53436724113068750175

Signed Wail Al-duais

Showing the 12 most recent of 20 posts we hold for @FounfMed. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 141,483 of 1,585,381entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 22 August 2026 — this entry's latest reading, not the date you are reading this.

“FoundMed” (@FounfMed), 3,099 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/FounfMed.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.